Research On Remote Sensing Monitoring Of Winter Wheat Drought In Jinan

Because hyper-spectral data have the characteristics of multi-band, nearly continuous,surface features analysis which combined with the spectral characteristics of the surfacefeatures are widely used in various fields wide .In addition, Time resolution of hyper-spectraldata is improved too, so that its application of dynamic monitoring in real-time has obviousadvantages. With the continuous development of remote sensing technology, the capabilities ofacquire the data which is high spectral and high temporal resolution are increased. Research oftime and space dynamic monitoring of crop drought become a focus of hyper-spectral remotemonitoring research in agricultural research.This paper monitors and counts the drought development in Jinan and its winter wheatplanting area from October 2010 to June 2011 by joint Chinese-German technical project(2007DFB70200) and Shandong provincial natural science foundation (Y2008E10) .The purposeof this paper is studying the applicability of drought index and Remote sensing method ofagricultural drought. Dynamic monitoring of drought can play advising role in agriculturalmonitoring and agricultural decision-making in the period of winter wheat growth, the maincontents of this paper are as follows:(1) the method research of extraction of winter wheat planting area in Jinan. This paperdiscusses the pretreatment of MODIS data, such as radiometric calibration, projectiontransformation and so on. Then the sequence curve of winter wheat in Jinan is constructed byusing MODIS products (MODIS13Q1) and winter wheat planting area is extracted according tothe phenological characteristics of winter wheat and accuracy of extraction result is 89%.(2) This article chooses drought monitoring index including the normalized differencevegetation index（NDVI）, and enhance vegetation index（EVI）, Vegetation Condition Index（VCI）, surface water capacity index（SWCI）and Normalized water index（NDWI），by usingof the composed multi-temporal MODIS images of near infrared and visible light and thermalinfrared bands, widely band combination can reflect the comprehensive drought monitoring method of existing and index, realize the MODIS hyper-spectral data from drought monitoring tothe entire data pretreatment application process. The index calculation results verify each other,common reflect the development space and time drought.(3) Using of the product MODIS11A1 the inversion parameters of land surfacetemperature, this paper calculates land surface temperature of monitoring area by use splitwindow algorithm and fills the missing data of MODIS LST products. By making use of thesurface temperature (MODIS11) and vegetation index (MODIS13), This article uses thevegetation index - land surface temperature feature space principle as a guide to establishLST-NDVI feature space of the study area, fit the wet edge and dry edge of feature space to buildTVDI index, finally, the index result is tested by field data and grade to reveal droughtdistribution information.